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Post-doctoral position: Quantum-inspired approaches for the simulation of turbulent flows

Tensor networks are widely used in quantum mechanics to effectively and dramatically reduce the number of degrees of freedom required to represent complex quantum states. More recently, they have also emerged as a promising approach to represent and simulate various classical systems including turbulent flows.

The aim of this post-doctoral project is to explore the simulation of turbulent flows using tensor networks. The goal will be to determine whether such approach can enable the investigation of high Reynolds number flows which are out of reach for traditional methods, or whether a low-order model based on this representation can capture the main statistical features of turbulent flows. The methods will then be applied to investigate fundamental aspects of turbulent flows and the emergence of extreme events in turbulence.

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